Select market & symbol
Choose the market, asset class and symbol you want to analyze.
Repeatable calculations. Historical alignment.
Transparent performance metrics.
Trade2 uses systematic calendar-window calculations to analyze historical price patterns across symbols, markets and asset classes. Every headline metric is designed to be traceable back to its underlying years and trading observations.
From raw observations to comparable seasonal evidence.
Choose the market, asset class and symbol you want to analyze.
Set the start and end dates for the seasonal analysis.
Align each historical year to the same calendar progress and normalize the full-year path.
Calculate return, win rate and consistency, then compare windows and symbols.
The same rules are applied consistently across symbols and years.
Calculations use daily historical adjusted-close data. The start date moves forward to the nearest available trading day and the end date moves backward.
Each valid year is normalized to an index level of 100 at its first observation. Trading observations are aligned across Jan–Dec calendar progress.
Multiple calendar windows can be compared to identify stronger historical windows using the same performance rules.
Win rate is the percentage of observed yearly returns above zero. Average and median returns are calculated across valid yearly windows.
Return equals end adjusted close divided by start adjusted close minus one. Cumulative return compounds yearly window results.
Research screens use repeatable statistics to compare the strength and consistency of recurring patterns.
Open the analyzer and inspect every historical year behind a seasonal pattern.
Open analyzer →Common questions about how the methodology treats dates, years and interpretation.
For each year, the requested start date moves forward to the nearest available trading day and the end date moves backward to the nearest available trading day.
Windows that cross December continue into the following year, so each observation follows the requested calendar sequence.
No. Historical patterns are research evidence, not a guarantee of future performance or a recommendation to trade.